Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/64267
Title: Efficient algorithm of energy minimization for heterogeneous wireless sensor network
Authors: Qiu, MK
Xue, C
Shao, ZL 
Zhuge, QF
Liu, ML
Sha, EHM
Issue Date: 2006
Publisher: Springer
Source: Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics), v. 4096, p. 25-34 How to cite?
Journal: Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics) 
Abstract: Energy and delay are critical issues for wireless sensor networks since most sensors are equipped with non-rechargeable batteries that have limited lifetime. Due to the uncertainties in execution time of some tasks, this paper models each varied execution time as a probabilistic random variable and incorporating applications’ performance requirements to solve the MAP (Mode Assignment with Probability) problem. Using probabilistic design, we propose an optimal algorithm to minimize the total energy consumption while satisfying the timing constraint with a guaranteed confidence probability. The experimental results show that our approach achieves significant energy saving than previous work. For example, our algorithm achieves an average improvement of 32.6% on total energy consumption.
Description: International Conference on Embedded and Ubiquitous Computing (EUC 2006), Seoul, Korea, 1-4 Aug 2006
URI: http://hdl.handle.net/10397/64267
ISBN: 978-3-540-36679-9 (print)
978-3-540-36681-2 (online)
ISSN: 0302-9743 (print)
1611-3349 (online)
DOI: 10.1007/11802167_5
Appears in Collections:Conference Paper

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